MétaCan
Menu
Back to cohort
Record W2172178932 · doi:10.1080/02732173.2011.557065

ECOFEMINISM, HEGEMONIC MASCULINITY, AND ENVIRONMENTAL MOVEMENT PARTICIPATION IN BRITISH COLUMBIA, CANADA, 1998–2007: “WOMEN ALWAYS CLEAN UP THE MESS”

2011· article· en· W2172178932 on OpenAlexaffabout
Mark C. J. Stoddart, David B. Tindall

Bibliographic record

VenueSociological Spectrum · 2011
Typearticle
Languageen
FieldEnvironmental Science
TopicEnvironmental Education and Sustainability
Canadian institutionsUniversity of British ColumbiaMemorial University of Newfoundland
Fundersnot available
KeywordsEcofeminismHegemonyGender studiesTheme (computing)FeminismPoliticsMasculinitySociologyEnvironmentalismIndigenousSalientResource (disambiguation)Environmental politicsEnvironmental movementEnvironmental ethicsPolitical scienceLawEcology

Abstract

fetched live from OpenAlex

This article draws upon two waves of interviews with environmental movement members in British Columbia, Canada, in order to examine participants' interpretations of the relationship between gender and environmental politics. Four claims emerge from this analysis. First, our results support the notion that there is an affinity between environmental politics and feminism. Second, despite recent critiques of ecomaternalism and the dual subjugation of nature and women within ecofeminism, these discourses remain useful as interpretive resources for research participants. Third, while ecomaternalism is a recurrent theme, it appears to be declining in relative importance as a discursive resource. Finally, notions of hegemonic masculinity are becoming more salient as an interpretive framework. While the first two claims emphasize continuity in participants' interpretive framework, the latter findings describe shifts in participants' understandings of gender and environmental politics.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.056
Threshold uncertainty score0.408

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0190.008
Scholarly communication0.0040.001
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.013
GPT teacher head0.219
Teacher spread0.207 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations41
Published2011
Admission routes2
Has abstractyes

Explore more

Same venueSociological SpectrumSame topicEnvironmental Education and SustainabilityFrench-language works237,207